| N_sites | N_counts | N_detections | rep_period | iterations | burnin | thin |
|---|---|---|---|---|---|---|
| 127 | 420 | 237 | 7 days | 120000 | 20000 | 10 |
| Yr | 2016 | 2017 | 2018 | 2019 | 2020 |
| sites | 19 | 31 | 19 | 32 | 26 |
| detections | 24 | 47 | 43 | 80 | 43 |
| N.dot.model | 8 | 24 | 19 | 34 | 13 |
| model | description | WAIC | N.total.est |
|---|---|---|---|
| fm7 | counts | 5.683632 | 127 |
| fm1 | dot | 1416.159272 | 98 |
| fm3 | lure | 1416.862733 | 97 |
| fm2 | jdt | 1417.331463 | 98 |
| fm4 | lure + jdt | 1418.215634 | 98 |
| fm5 | jdt + jdtSq | 1418.950661 | 98 |
| fm6 | lure + jdt + jdtSq | 1421.163316 | 97 |
| param | covariate | iters_ef | mean | mode | hdi_89pct_lower | hdi_89pct_upper | bayes_P | pct.density |
|---|---|---|---|---|---|---|---|---|
| p[1] | NA | 6512 | 0.128 | 0.117 | 0.07 | 0.18 | 0 | 1.001 |
| p[2] | NA | 3444 | 0.078 | 0.077 | 0.05 | 0.11 | 0 | 1.001 |
| p[3] | NA | 3761 | 0.053 | 0.052 | 0.03 | 0.07 | 0 | 1.001 |
| p[4] | NA | 3627 | 0.072 | 0.069 | 0.05 | 0.09 | 0 | 1.001 |
| p[5] | NA | 8123 | 0.103 | 0.098 | 0.07 | 0.13 | 0 | 1.001 |
| lambda[1] | NA | 8106 | 0.492 | 0.403 | 0.20 | 0.78 | 0 | 1.001 |
| lambda[2] | NA | 2972 | 1.048 | 0.927 | 0.52 | 1.49 | 0 | 1.001 |
| lambda[3] | NA | 3036 | 1.293 | 1.064 | 0.62 | 1.92 | 0 | 1.001 |
| lambda[4] | NA | 3988 | 1.303 | 1.203 | 0.78 | 1.79 | 0 | 1.001 |
| lambda[5] | NA | 9527 | 0.583 | 0.525 | 0.31 | 0.86 | 0 | 1.001 |
| N[46] | NA | 7311 | 1.665 | 1 | 1.00 | 3.00 | 0 | 1.0002 |
| N[1] | NA | 9639 | 0.042 | err | 0.00 | 0.00 | err | err |
| N[43] | NA | 7277 | 0.227 | err | 0.00 | 1.00 | err | err |
| N[88] | NA | 8048 | 0.133 | err | 0.00 | 1.00 | err | err |
| N[100] | NA | 8389 | 1.058 | err | 1.00 | 1.00 | err | err |
| param | covariate | iters_ef | mean | mode | hdi_89pct_lower | hdi_89pct_upper | bayes_P | pct.density |
|---|---|---|---|---|---|---|---|---|
| alpha | jdt | 9447 | 0.004 | 0.006 | -0.11 | 0.12 | 0.99853 | 0.5255 |
| alpha0 | NA | 4272 | -2.502 | -2.48 | -2.69 | -2.30 | 0 | 1.001 |
| lambda[1] | NA | 8319 | 0.661 | 0.596 | 0.29 | 1.00 | 0 | 1.001 |
| lambda[2] | NA | 7679 | 1.014 | 0.991 | 0.62 | 1.39 | 0 | 1.001 |
| lambda[3] | NA | 8443 | 0.936 | 0.857 | 0.55 | 1.33 | 0 | 1.001 |
| lambda[4] | NA | 8044 | 1.212 | 1.186 | 0.82 | 1.61 | 0 | 1.001 |
| lambda[5] | NA | 8601 | 0.680 | 0.629 | 0.36 | 0.98 | 0 | 1.001 |
| N[47] | NA | 10000 | 0.133 | err | 0.00 | 1.00 | err | err |
| N[89] | NA | 10000 | 0.506 | 0 | 0.00 | 1.00 | 1 | err |
| N[26] | NA | 10000 | 0.584 | 0 | 0.00 | 2.00 | 1 | err |
| N[119] | NA | 10000 | 0.200 | err | 0.00 | 1.00 | err | err |
| N[65] | NA | 10000 | 0.126 | err | 0.00 | 1.00 | err | err |
| param | covariate | iters_ef | mean | mode | hdi_89pct_lower | hdi_89pct_upper | bayes_P | pct.density |
|---|---|---|---|---|---|---|---|---|
| alpha | lure | 10163 | -0.029 | -0.025 | -0.16 | 0.11 | 0.92493 | 0.6364 |
| alpha0 | NA | 4611 | -2.504 | -2.506 | -2.69 | -2.31 | 0 | 1.001 |
| lambda[1] | NA | 8588 | 0.656 | 0.569 | 0.32 | 1.03 | 0 | 1.001 |
| lambda[2] | NA | 8414 | 1.007 | 0.97 | 0.62 | 1.38 | 0 | 1.001 |
| lambda[3] | NA | 8415 | 0.939 | 0.888 | 0.54 | 1.32 | 0 | 1.001 |
| lambda[4] | NA | 7668 | 1.210 | 1.171 | 0.82 | 1.60 | 0 | 1.001 |
| lambda[5] | NA | 8925 | 0.688 | 0.599 | 0.38 | 1.00 | 0 | 1.001 |
| N[104] | NA | 9246 | 3.349 | 4 | 2.00 | 5.00 | 0 | 1.001 |
| N[68] | NA | 10000 | 1.173 | err | 1.00 | 2.00 | err | err |
| N[102] | NA | 10000 | 0.031 | err | 0.00 | 0.00 | err | err |
| N[21] | NA | 9827 | 1.193 | err | 1.00 | 2.00 | err | err |
| N[112] | NA | 10000 | 0.040 | err | 0.00 | 0.00 | err | err |
| param | covariate | iters_ef | mean | mode | hdi_89pct_lower | hdi_89pct_upper | bayes_P | pct.density |
|---|---|---|---|---|---|---|---|---|
| alpha[1] | lureDays | 8080 | -0.032 | -0.033 | -0.18 | 0.12 | 0.92326 | 0.637 |
| alpha[2] | julianDt | 8130 | 0.015 | 0.015 | -0.11 | 0.14 | 0.9759 | 0.5804 |
| alpha0 | NA | 4688 | -2.498 | -2.496 | -2.68 | -2.31 | 0 | 1.001 |
| lambda[1] | NA | 8537 | 0.646 | 0.639 | 0.29 | 0.98 | 0 | 1.001 |
| lambda[2] | NA | 8374 | 1.005 | 0.972 | 0.63 | 1.39 | 0 | 1.001 |
| lambda[3] | NA | 8943 | 0.932 | 0.836 | 0.52 | 1.31 | 0 | 1.001 |
| lambda[4] | NA | 8084 | 1.201 | 1.137 | 0.82 | 1.60 | 0 | 1.001 |
| lambda[5] | NA | 8840 | 0.685 | 0.64 | 0.37 | 0.98 | 0 | 1.001 |
| N[104] | NA | 9394 | 3.382 | 3.002 | 2.00 | 5.00 | 0 | 1.001 |
| N[45] | NA | 9670 | 1.740 | 1 | 1.00 | 3.00 | 0 | 1.0003 |
| N[78] | NA | 9719 | 0.421 | 0 | 0.00 | 1.00 | 1 | err |
| N[31] | NA | 10000 | 1.115 | err | 1.00 | 1.00 | err | err |
| N[5] | NA | 8870 | 1.887 | 2.003 | 1.00 | 3.00 | 0 | 1.0005 |
| param | covariate | iters_ef | mean | mode | hdi_89pct_lower | hdi_89pct_upper | bayes_P | pct.density |
|---|---|---|---|---|---|---|---|---|
| alpha[1] | julianDt | 4014 | 0.072 | 0.074 | -0.13 | 0.27 | 0.89961 | 0.7143 |
| alpha[2] | julianDtSq | 4083 | -0.086 | -0.097 | -0.29 | 0.12 | 0.80541 | 0.7476 |
| alpha0 | NA | 4564 | -2.503 | -2.491 | -2.69 | -2.31 | 0 | 1.001 |
| lambda[1] | NA | 8953 | 0.647 | 0.527 | 0.28 | 0.98 | 0 | 1.001 |
| lambda[2] | NA | 8150 | 1.028 | 1.007 | 0.64 | 1.41 | 0 | 1.001 |
| lambda[3] | NA | 9454 | 0.931 | 0.825 | 0.54 | 1.32 | 0 | 1.001 |
| lambda[4] | NA | 7430 | 1.226 | 1.175 | 0.82 | 1.62 | 0 | 1.001 |
| lambda[5] | NA | 9284 | 0.678 | 0.618 | 0.35 | 0.96 | 0 | 1.001 |
| N[33] | NA | 9661 | 1.436 | 1 | 1.00 | 2.00 | 0 | 1.0001 |
| N[21] | NA | 10000 | 1.196 | err | 1.00 | 2.00 | err | err |
| N[13] | NA | 8931 | 2.629 | 3 | 2.00 | 4.00 | 0 | 1.0009 |
| N[56] | NA | 10000 | 0.046 | err | 0.00 | 0.00 | err | err |
| N[104] | NA | 8625 | 3.348 | 2.998 | 2.00 | 5.00 | 0 | 1.001 |
| param | covariate | iters_ef | mean | mode | hdi_89pct_lower | hdi_89pct_upper | bayes_P | pct.density |
|---|---|---|---|---|---|---|---|---|
| alpha[1] | lureDays | 5545 | -0.057 | -0.058 | -0.21 | 0.10 | 0.84323 | 0.7206 |
| alpha[2] | julianDt | 3049 | 0.108 | 0.103 | -0.12 | 0.33 | 0.73248 | 0.7765 |
| alpha[3] | julianDtSq | 3217 | -0.111 | -0.135 | -0.33 | 0.11 | 0.74073 | 0.7896 |
| alpha0 | NA | 4423 | -2.512 | -2.489 | -2.69 | -2.31 | 0 | 1.001 |
| lambda[1] | NA | 8268 | 0.624 | 0.554 | 0.28 | 0.95 | 0 | 1.001 |
| lambda[2] | NA | 8178 | 1.020 | 0.954 | 0.62 | 1.38 | 0 | 1.001 |
| lambda[3] | NA | 8695 | 0.925 | 0.86 | 0.53 | 1.30 | 0 | 1.001 |
| lambda[4] | NA | 6869 | 1.228 | 1.172 | 0.80 | 1.61 | 0 | 1.001 |
| lambda[5] | NA | 8332 | 0.697 | 0.617 | 0.37 | 1.01 | 0 | 1.001 |
| N[10] | NA | 9820 | 0.103 | err | 0.00 | 0.00 | err | err |
| N[46] | NA | 10000 | 1.649 | 1 | 1.00 | 3.00 | 0 | 1.0002 |
| N[23] | NA | 10000 | 0.354 | 0 | 0.00 | 1.00 | 1 | err |
| N[31] | NA | 8427 | 1.122 | err | 1.00 | 2.00 | err | err |
| N[106] | NA | 10000 | 0.505 | 0 | 0.00 | 1.00 | 1 | err |
| param | covariate | iters_ef | mean | mode | hdi_89pct_lower | hdi_89pct_upper | bayes_P | pct.density |
|---|---|---|---|---|---|---|---|---|
| alpha | counts | 8567 | 9.532 | 8.991 | 7.49 | 11.35 | 0 | 1.001 |
| alpha0 | NA | 9239 | -6.475 | -6.099 | -7.89 | -5.06 | 0 | 1.001 |
| lambda[1] | NA | 9109 | 0.984 | 0.858 | 0.42 | 1.53 | 0 | 1.001 |
| lambda[2] | NA | 10000 | 0.992 | 0.935 | 0.60 | 1.34 | 0 | 1.001 |
| lambda[3] | NA | 10000 | 0.994 | 0.929 | 0.56 | 1.44 | 0 | 1.001 |
| lambda[4] | NA | 10360 | 0.994 | 0.937 | 0.65 | 1.36 | 0 | 1.001 |
| lambda[5] | NA | 8870 | 0.974 | 0.866 | 0.47 | 1.43 | 0 | 1.001 |
| N[50] | NA | 10000 | 1.004 | err | 1.00 | 1.00 | err | err |
| N[86] | NA | 0 | 1.000 | err | 1.00 | 1.00 | err | err |
| N[87] | NA | 0 | 1.000 | err | 1.00 | 1.00 | err | err |
| N[124] | NA | 10000 | 0.939 | 0 | 0.00 | 2.00 | 1 | err |
| N[26] | NA | 10881 | 0.976 | 0 | 0.00 | 2.00 | 1 | err |
## Warning in cor(X, use = "pairwise.complete.obs"): the standard deviation is zero
## Warning: Removed 50 rows containing missing values (geom_bar).
## Warning in cor(X, use = "pairwise.complete.obs"): the standard deviation is zero
## Warning: Removed 50 rows containing missing values (geom_bar).